Summary & Takeaways

Lesson Summary: Visualisation & Interpretation

Topic Focus

✅ Basics of Visualising Data, including: – ➕ Chart creation techniques in Excel
– ➕ Formatting for usability and readability
– ➕ Tailoring visuals to different stakeholder needs
– ➕ Matching visual style to context (e.g. internal teams vs SLT)

Key Takeaway

One of the most important lessons from this activity is that:

❗ Insights can change depending on how you choose to measure and present data.

For example: – Using Total Sales for SLT’s second request gives a very different insight compared to using Average Sales.

This isn’t just technical — it has ethical implications, too.

Ethical Reflection for Analysts

Before producing or sharing any analysis, ask yourself:

❓ Why has this request been made?
❓ What is the underlying driver or purpose?
❓ Does the request align with your organisation’s values, mission, and goals?
❓ What wider impact might this analysis have? – ➜ On other teams?
– ➜ On the organisation?
– ➜ On society at large?

✅ Great data analysts don’t just provide numbers — they understand the responsibility behind every insight they produce.

Let me know if you’d like to follow this up with reflection prompts or a discussion activity for learners!